{"id":"W3081207096","doi":"10.1089/pop.2020.0187","title":"The Essential Role of Technology in the Public Health Battle Against COVID-19","year":2020,"lang":"en","type":"review","venue":"Population Health Management","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Battle; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Public health; Pandemic; Medicine; Virology; Political science; Geography; Nursing; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01296274,0.0008033866,0.0006278058,0.001514621,0.005902064,0.01886124,0.001530143,0.009172669,0.0073738],"category_scores_gemma":[0.02025903,0.0005017967,0.0006862715,0.001081612,0.01892598,0.02170438,0.007642004,0.01265752,0.003393566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005260079,"about_ca_system_score_gemma":0.01116535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0021237,"about_ca_topic_score_gemma":0.00200983,"domain_scores_codex":[0.9895115,0.005902295,0.0004678239,0.0005431409,0.002261499,0.001313615],"domain_scores_gemma":[0.9722391,0.0187038,0.001332164,0.001803502,0.003050209,0.002871221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001268896,0.0001024753,0.001462988,0.0009485468,0.0000510424,0.0006962302,0.01283045,0.0006647467,0.001636317,0.6176114,0.1775138,0.1863552],"study_design_scores_gemma":[0.00001513732,0.000131276,0.0004571605,0.001311707,0.00003442747,0.0004509183,0.00916683,0.0003824986,0.001121096,0.1733638,0.8135026,0.00006254136],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.005643333,0.03889425,0.01240704,0.8272278,0.01150715,0.0000611458,0.00004369639,0.0003038029,0.1039118],"genre_scores_gemma":[0.4522686,0.1336442,0.02729068,0.3014232,0.01930069,0.000319792,0.0001223426,0.0004924372,0.06513811],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01886124,"threshold_uncertainty_score":0.06855434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.386498676601402,"score_gpt":0.5218889491837785,"score_spread":0.1353902725823765,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}